Claude Integration

Maximize your Claude experience with StickyPrompts’ powerful integration features and optimization strategies.

Getting Started with Claude

Claude models are built directly into StickyPrompts - no setup required! Simply:

1. Choose Your Claude Model

   • Claude 3.7 Sonnet - Most intelligent model with superior reasoning
   • Claude 3.7 Sonnet Thinking - Visible step-by-step reasoning process
   • Claude 3.5 Sonnet - Cutting-edge for complex, multi-step tasks
   • Claude 3.5 Haiku - Optimized for speed and efficiency
   • Claude 3 Opus - Highest capability for demanding applications
   • Claude 3 Sonnet - Balanced performance and reliability
   • Claude 3 Haiku - Fast, cost-effective responses

2. Start Your Conversation

   • Select Claude from the model dropdown
   • Begin chatting or use a prompt template
   • Switch between Claude models as needed

3. Leverage Team Features

   • Share successful Claude prompts with your team
   • Access your organization’s prompt library
   • Collaborate on prompt development

Claude-Specific Features

Understanding Claude’s Strengths

Claude excels at:

• Analytical Tasks: Data analysis, research synthesis
• Structured Outputs: Following complex formatting rules
• Long-Form Content: Essays, reports, documentation
• Code Analysis: Understanding and explaining code
• Ethical Reasoning: Balanced, thoughtful responses

Optimizing for Claude

Best Practices:

Structure your prompts clearly:
1. Define the role/context
2. Specify the task precisely
3. Provide detailed requirements
4. Include format specifications
5. Set clear boundaries

Claude-Optimized Templates

Analytical Report Template

You are a senior analyst at a consulting firm specializing in [INDUSTRY].

Create a comprehensive analysis report on [TOPIC] based on the provided data.

Report Structure:
## Executive Summary
- Key findings (3-4 bullet points)
- Primary recommendations

## Methodology
- Data sources used
- Analysis approach
- Limitations acknowledged

## Detailed Findings
- Finding 1: [Evidence and implications]
- Finding 2: [Evidence and implications]
- Finding 3: [Evidence and implications]

## Recommendations
1. Short-term actions (0-3 months)
2. Medium-term strategy (3-12 months)
3. Long-term vision (1+ years)

## Risk Assessment
- High-probability risks
- Mitigation strategies

Data to analyze: [YOUR_DATA]
Specific focus areas: [FOCUS_AREAS]

Requirements:
- Use clear, professional language
- Support conclusions with data
- Include confidence levels for predictions
- Highlight areas needing further research

Code Review Template

You are an experienced software architect conducting a code review.

Analyze the following code and provide a comprehensive review.

Review Structure:
## Code Quality Assessment
- Overall architecture rating (1-10)
- Readability score (1-10)
- Maintainability assessment

## Specific Issues Found
### Critical Issues
- [Issue]: [Description and impact]
- [Suggested fix]: [Specific recommendation]

### Improvement Opportunities
- [Area]: [Current state vs. better approach]
- [Benefit]: [Why this change matters]

## Security Considerations
- Potential vulnerabilities identified
- Security best practices to implement

## Performance Analysis
- Efficiency concerns
- Optimization opportunities
- Scalability considerations

## Recommendations
1. **Immediate fixes** (must address)
2. **Improvements** (should address)
3. **Enhancements** (nice to have)

Code to review: [CODE_BLOCK]
Context: [PROJECT_CONTEXT]
Focus areas: [SPECIFIC_CONCERNS]

Research Synthesis Template

You are a research analyst specializing in [FIELD].

Synthesize the provided research materials into a cohesive summary.

Synthesis Structure:
## Research Overview
- Total sources analyzed: [NUMBER]
- Date range: [TIMEFRAME]
- Methodology types covered

## Key Themes Identified
### Theme 1: [THEME_NAME]
- Supporting evidence from sources
- Contradicting viewpoints (if any)
- Confidence level: [HIGH/MEDIUM/LOW]

### Theme 2: [THEME_NAME]
- Supporting evidence from sources
- Contradicting viewpoints (if any)
- Confidence level: [HIGH/MEDIUM/LOW]

## Consensus Findings
- Areas where sources agree
- Strength of evidence
- Practical implications

## Research Gaps
- Unanswered questions
- Conflicting evidence requiring resolution
- Areas needing further study

## Practical Applications
- Actionable insights
- Implementation considerations
- Success metrics to track

Research materials: [SOURCES]
Specific research question: [QUESTION]
Target audience: [AUDIENCE]

Requirements:
- Cite sources appropriately
- Highlight conflicting viewpoints
- Use academic tone
- Include confidence assessments

Advanced Claude Techniques

Multi-Step Reasoning

Claude performs excellently with step-by-step reasoning:

Let's approach this systematically:

Step 1: Define the problem scope
- What exactly are we trying to solve?
- What constraints do we have?
- What success looks like?

Step 2: Gather relevant information
- What data do we need?
- What sources are most reliable?
- What gaps exist in our knowledge?

Step 3: Analyze the information
- What patterns emerge?
- What are the key relationships?
- What assumptions are we making?

Step 4: Generate potential solutions
- What options do we have?
- What are the trade-offs?
- Which approaches show most promise?

Step 5: Evaluate and recommend
- What criteria should we use?
- How do options compare?
- What's the best path forward?

Problem to solve: [YOUR_PROBLEM]

Structured Thinking Prompts

Use the following framework to analyze [TOPIC]:

## Context Analysis
- Current situation
- Historical background
- Key stakeholders involved

## Problem Definition
- Core issues identified
- Root cause analysis
- Impact assessment

## Options Evaluation
| Option | Pros | Cons | Feasibility | Impact |
|--------|------|------|-------------|--------|
| A      |      |      |             |        |
| B      |      |      |             |        |
| C      |      |      |             |        |

## Decision Matrix
Weight each criterion (1-5):
- Cost: [WEIGHT]
- Time: [WEIGHT]
- Risk: [WEIGHT]
- Impact: [WEIGHT]

## Recommendation
Based on the analysis above, recommend the best course of action with clear reasoning.

Claude Model Comparison

Claude-3 Haiku

• Best for: Quick tasks, simple analysis
• Strengths: Fast response, cost-effective
• Limitations: Less complex reasoning

Optimal prompts:

Simple, direct instructions
Clear format requirements
Focused scope
Minimal context needed

Claude-3 Sonnet

• Best for: Balanced performance tasks
• Strengths: Good reasoning, moderate speed
• Limitations: Some complex analysis challenges

Optimal prompts:

Moderate complexity
Clear structure
Balanced detail level
Multi-step processes

Claude-3.5 Sonnet

• Best for: Complex analysis, creative work
• Strengths: Advanced reasoning, nuanced understanding
• Limitations: Higher cost, slower response

Optimal prompts:

Complex, multi-faceted tasks
Detailed context and requirements
Advanced reasoning needs
Creative problem-solving

Integration Best Practices

Prompt Organization

Folder Structure:

Claude Prompts/
├── Analysis/
│   ├── Data Analysis
│   ├── Research Synthesis
│   └── Competitive Analysis
├── Writing/
│   ├── Technical Documentation
│   ├── Report Writing
│   └── Content Creation
├── Code/
│   ├── Code Review
│   ├── Documentation
│   └── Debugging
└── Problem Solving/
    ├── Strategic Planning
    ├── Decision Making
    └── Process Improvement

Variable Management

Use consistent variable naming:

[CONTEXT] - Background information
[OBJECTIVE] - What you want to achieve
[CONSTRAINTS] - Limitations or requirements
[FORMAT] - Output structure desired
[AUDIENCE] - Who will read the output
[DEADLINE] - Time constraints
[RESOURCES] - Available information/tools

Response Optimization

For better Claude responses:

1. Be Explicit About Format

   Format the response as:
   - Bullet points for lists
   - Numbered steps for processes
   - Tables for comparisons
   - Headers for sections

2. Specify Reasoning Level

   Please show your reasoning by:
   - Explaining your thought process
   - Citing specific evidence
   - Acknowledging uncertainties
   - Providing confidence levels

3. Request Structured Outputs

   Structure your response with:
   1. Summary (2-3 sentences)
   2. Detailed analysis
   3. Recommendations
   4. Next steps

Troubleshooting Common Issues

Issue: Responses Too Verbose

Solution:

Add constraints:
- Word limit: [NUMBER] words maximum
- Bullet points only
- Executive summary format
- Key points only (3-5 items)

Issue: Missing Context

Solution:

Provide comprehensive background:
- Industry context
- Company situation
- Previous decisions made
- Current challenges

Issue: Generic Responses

Solution:

Add specificity:
- Exact use case
- Target audience details
- Specific requirements
- Success criteria

Performance Optimization

Token Efficiency

Efficient Claude prompting:

✅ Use clear, concise language
✅ Structure information logically
✅ Eliminate redundant phrases
✅ Focus on essential details only

❌ Avoid verbose explanations
❌ Don't repeat requirements
❌ Skip unnecessary pleasantries
❌ Minimize filler words

Response Quality

For consistent high-quality outputs:

1. Set Clear Expectations
2. Provide Relevant Context
3. Use Specific Examples
4. Define Success Criteria
5. Request Self-Evaluation

Next Steps

Ready to master Claude integration?

• Explore Advanced Techniques for complex Claude prompts
• Check out Optimization Strategies for better performance
• Try Prompt Templates adapted for Claude
• Compare with ChatGPT Integration for multi-platform strategies
• See Real Examples of successful Claude implementations